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yolox_cspdarknet.yml
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yolox_cspdarknet.yml
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architecture: YOLOX
norm_type: sync_bn
use_ema: True
ema_decay: 0.9999
ema_decay_type: "exponential"
act: silu
find_unused_parameters: True
depth_mult: 1.0
width_mult: 1.0
YOLOX:
backbone: CSPDarkNet
neck: YOLOCSPPAN
head: YOLOXHead
size_stride: 32
size_range: [15, 25] # multi-scale range [480*480 ~ 800*800]
CSPDarkNet:
arch: "X"
return_idx: [2, 3, 4]
depthwise: False
YOLOCSPPAN:
depthwise: False
YOLOXHead:
l1_epoch: 285
depthwise: False
loss_weight: {cls: 1.0, obj: 1.0, iou: 5.0, l1: 1.0}
assigner:
name: SimOTAAssigner
candidate_topk: 10
use_vfl: False
nms:
name: MultiClassNMS
nms_top_k: 10000
keep_top_k: 1000
score_threshold: 0.001
nms_threshold: 0.65
# For speed while keep high mAP, you can modify 'nms_top_k' to 1000 and 'keep_top_k' to 100, the mAP will drop about 0.1%.
# For high speed demo, you can modify 'score_threshold' to 0.25 and 'nms_threshold' to 0.45, but the mAP will drop a lot.